UPDATE: APPROVED DELIVERABLES published online!
The list of SmartH2O deliverables approved so far has been updated. All approved deliverables are published online at this page. Check them out!
The list of SmartH2O deliverables approved so far has been updated. All approved deliverables are published online at this page. Check them out!
Live from Valencia. Today, all the partners of the SmartH2O consortium are attending the final review meeting, hosted by Global Omnium – EMIVASA. Finger crossed for a successful end! Events […]
We just published a paper on energy consumption end-use disaggregation using Hidden Markov Models and Dynamic Time Warping. This is part of the research we are conducting on smart metered data […]
Last Thursay (29 September), SmartH2O took part at the fifth edition of MEETmeTONIGHT – The researchers’ night, held at Politecnico di Milano (Como campus)… and the spotlight of the session […]
SmartH2O was been selected as a finalist of the “EIP Water’s Got Talent” contest, organized in collaboration with Isle Utilities during the 2016 EIP Water Conference. During the session, Jacopo Mossina […]
The SmartH2O project is attending the European Utility Week, held in Wien on 3 – 5 November 2015. Our representatives from the SmartH2O Consortium are showcasing the SmartH2O platform during this 3-day event, […]
The SmartH2O deliverables approved so far have been published online at this page. Check out the first outcomes of the SmartH2O project!
The SmartH2O project is going to take part into several international workshops in the next months. Hereby the upcoming events the SmartH2O project is going to attend: SEPTEMBER 2015 15th […]
The journal paper “Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review“, authored by Andrea Cominola, Matteo Giuliani, Dario Piga, Andrea Castelletti […]
36th IAHR World Congress (28th June – 3rd July 2015, The Hague (NL) ), the SmartH2O project is here! Three presentations will be given by the SmartH2O partners: A Convex Optimization […]